Evidence map›Paper›PMID 25243067›Full record

ArticleAntimicrobial resistance and infection control2014

Measuring the quality of infection control in Dutch nursing homes using a standardized method; the Infection prevention RIsk Scan (IRIS).

Ina Willemsen, Jolande Nelson-Melching, Yvonne Hendriks, Ans Mulders, Sandrien Verhoeff, Marjolein Kluytmans-Vandenbergh, Jan Kluytmans

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Application of the infection risk scan in an intensive care unit.Antimicrobial resistance and infection control · 2026
    Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ina WillemsenLaboratory for Microbiology and Infection Control, PO Box 90158, 4800 RK, Amphia Hospital, Breda, The Netherlands.
Jolande Nelson-MelchingDepartment for Infection Control and Microbiology, St. Elisabeth Hospital, Tilburg, The Netherlands.
Yvonne HendriksLaboratory for Microbiology and Infection Control, PO Box 90158, 4800 RK, Amphia Hospital, Breda, The Netherlands.
Ans MuldersTHEBE, Healthcare Organisation including Nursing Homes, Breda, The Netherlands.
Sandrien VerhoeffTHEBE, Healthcare Organisation including Nursing Homes, Breda, The Netherlands.
Marjolein Kluytmans-VandenberghAmphia Academy Infectious Disease Foundation, Amphia Hospital, Breda, The Netherlands.
Jan KluytmansLaboratory for Microbiology and Infection Control, PO Box 90158, 4800 RK, Amphia Hospital, Breda, The Netherlands ; Department for Infection Control and Microbiology, St. Elisabeth Hospital, Tilburg, The Netherlands ; Department for Medical Microbiology and Infection control, VUmc Medical Center, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe developed a standardised method to assess the quality of infection control in Dutch Nursing Home (NH), based on a cross-sectional survey that visualises the results. The method was called the Infection control RIsk Infection Scan (IRIS). We tested the applicability of this new tool in a multicentre surveillance executed June and July 2012.

methodsThe IRIS includes two patient outcome-variables, i.e. the prevalence of healthcare associated infections (HAI) and rectal carriage of Extended-Spectrum Beta-Lactamase (ESBL) producing Enterobacteriaceae (ESBL-E); two patient-related risk factors, i.e. use of medical devices, and antimicrobial therapy; and three ward-related risk factors, i.e. environmental contamination, availability of local guidelines, and shortcomings in infection prevention preconditions. Results were categorised as low-, intermediate- and high risk, presented in an easy-to-read graphic risk spider-plot. This plot was given as feedback to management and healthcare workers of the NH.

resultsLarge differences were found among most the variables in the different NH. Common shortcomings were the availability of infection control guidelines and the level of environmental cleaning. Most striking differences were observed in the prevalence of ESBL carriage, ranged from zero to 20.6% (p < 0.001).

conclusionsThe IRIS provided a rapid and easy to understand assessment of the infection control situation of the participating NH. The results can be used to improve the quality of infection control based on the specific needs of a NH but needs further validation in future studies. Repeated measurement can determine the effectiveness of the interventions. This makes the IRIS a useful tool for quality systems.

Indexed as

Antimicrobial resistanceHealthcare associated infectionsInfection controlNursing homesQuality improvementSurveillance

Identifiers

PMID25243067
PMCPMC4169692

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.